3051 search results - page 109 / 611 » Learning Internal Representations |
137
Voted
ANNPR
2008
Springer
15 years 5 months ago
2008
Springer
Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...
139
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GECCO
2009
Springer
15 years 8 months ago
2009
Springer
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
126
Voted
CIVR
2007
Springer
15 years 9 months ago
2007
Springer
In the past, quantized local descriptors have been shown to be a good base for the representation of images, that can be applied to a wide range of tasks. However, current approac...
133
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GECCO
2009
Springer
15 years 10 months ago
2009
Springer
A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to neural networks. This paper presents results fr...
120
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ECML
2001
Springer
15 years 7 months ago
2001
Springer
Abstract. This paper proposes a generic extension to propositional rule learners to handle multiple-instance data. In a multiple-instance representation, each learning example is r...